Application of Single Neuron Adaptive PID Regulators with Auto-tuning Gain in Industrial Parameter(Pressure)Closed-loop Process Control Systems

A type of single neuron adaptive PID regulator with auto-tuning gain is proposed and applied to the work control of fans, waterpumps and air-pressers etc. in Handan Iron & Steel Compel China. The robusthess of induStrial parameter closed-loop process controlsystems is improved, and the work quality of the systems bettered.

基于改进灰色预测单神经元PI的全超导托卡马克核聚变发电装置快控电源电流控制

全超导托卡马克核聚变发电装置(EAST)快控电源负载电感的电流受多种不确定环境因素的影响而难以预测,灰色预测无需精确对象模型,只需少量已知信息即可实现输出电流短期预测,已在EAST快控电源中有了一定研究应用。为解决灰色预测在EAST快控电源中对突变信号边沿预测精度低和预测延时时间长的问题,提出一种改进灰色预测算法实现输出电流预测。在一个开关周期内对输出电流进行等时长间隔采样4次作为原始序列,将滚动式采样预测改为逐周期采样预测,在实现灰色预测的过程中不必依赖过去几个周期的历史采样信息,只需本周期的4个原始采样值即可实现输出电流的预测。根据预测电流与参考电流误差自适应调整单神经元比例-积分(PI)控制的输出增益,实现输出电流的快速准确控制。仿真和实验结果表明,在EAST快控电源电流预测过程中所提出的改进灰色预测,对比传统灰色预测具有更高的预测精度和更小的预测延时,改进灰色预测变增益单神经元PI控制能够在减小电流超调的同时加快输出电流响应速度。

IMC based robust PID controller tuning for disturbance rejection

It is well-known that the IMC-PID controller tuning gives fast and improved set point response but slow disturbance rejection. A modification has been proposed in IMC-PID tuning rule for the improved disturbance rejection. For the modified IMC-PID tuning rule, a method has been developed to obtain the IMC-PID setting in closed-loop mode without acquiring detailed information of the process. The proposed method is based on the closed-loop step set point experiment using a proportional only controller with gain K_(c0). It is the direct approach to find the PID controller setting similar to classical Ziegler-Nichols closed-loop method. Based on simulations of a wide range of first-order with delay processes, a simple correlation has been derived to obtain the modified IMC-PID controller settings from closed-loop experiment. In this method, controller gain is a function of the overshoot obtained in the closed loop set point experiment. The integral and derivative time is mainly a function of the time to reach the first peak(overshoot). Simulation has been conducted for the broad class of processes and the controllers were tuned to have the same degree of robustness by measuring the maximum sensitivity, Ms, in order to obtain a reasonable comparison. The PID controller settings obtained in the proposed tuning method show better performance and robustness with other two-step tuning methods for the broad class of processes. It has also been applied to temperature control loop in distillation column model. The result has been compared to the open loop tuning method where it gives robust and fast response.

Hybrid Optimized PI Controller Design for Grid Tied PV Based Electric Vehicle

Nowadays,researchers are becoming increasingly concerned about developing a highly efficient emission free transportation and energy generation system for addressing the pressing issue of environmental crisis in the form of pollution and climate change.The introduction of Electric Vehicles(EVs)solves the challenge of emission-free transportation while the necessity for decarbonized energy production is fulfilled by the installation and expansion of solar-powered Photovoltaic(PV)systems.Hence,this paper focuses on designing an effective PV based EV charging system that aids in stepping towards the achievement of a pollution free future.For overcoming the inherent intermittency associated with PV,a novel DC-DC converter is designed by integrating both Trans Z-source con-verter and Luo converter,which offers remarkable benefits of high conversion range,lesser voltage stress and excellent efficiency.A novel robust Lion Grey Wolf Optimized Proportional Integral(LGWO-PI)controller is designed for sig-nificantly strengthening the operation of the integrated converter in terms of peak overshoot,Total Harmonic Distortion(THD)and settling time.A 3’Voltage Source Inverter(VSI)is employed to convert the stable DC output from the PV sys-tem to AC,which is then used for driving the Brushless Direct Current Motor(BLDC)motor of EV.The speed of the BLDC is regulated using a PI controller.The BLDC motor gets the power supply from the grid during the unavailability of PV based power supply.The grid is integrated with the designed EV charging system through a 1’VSI and the process of grid voltage synchronization is carried out with the application of PI controller.The simulation for evaluating the operation of the presented EV charging system is done using MATLAB and the attained out-comes have validated that this introduced methodology delivers enhanced perfor-mance with optimal efficiency of 97.6%and lesser THD of 2.1%.

Improved Interleaved Single-Ended Primary Inductor-Converter forSingle-Phase Grid-Connected System

The generation of electricity based on renewable energy sources,parti-cularly Photovoltaic(PV)system has been greatly increased and it is simply insti-gated for both domestic and commercial uses.The power generated from the PV system is erratic and hence there is a need for an efficient converter to perform the extraction of maximum power.An improved interleaved Single-ended Primary Inductor-Converter(SEPIC)converter is employed in proposed work to extricate most of power from renewable source.This proposed converter minimizes ripples,reduces electromagnetic interference due tofilter elements and the contin-uous input current improves the power output of PV panel.A Crow Search Algo-rithm(CSA)based Proportional Integral(PI)controller is utilized for controlling the converter switches effectively by optimizing the parameters of PI controller.The optimized PI controller reduces ripples present in Direct Current(DC)vol-tage,maintains constant voltage at proposed converter output and reduces over-shoots with minimum settling and rise time.This voltage is given to single phase grid via 1�Voltage Source Inverter(VSI).The command pulses of 1�VSI are produced by simple PI controller.The response of the proposed converter is thus improved with less input current.After implementing CSA based PI the efficiency of proposed converter obtained is 96%and the Total Harmonic Distor-tion(THD)is found to be 2:4%.The dynamics and closed loop operation is designed and modeled using MATLAB Simulink tool and its behavior is performed.

基于51单片机的数字PI调节器设计

阐述基于51单片机的数字PI调节器的设计,将设计的数字PI调节器应用于运动控制系统实验平台,开展直流电动机转速单闭环实验,实验结果证实数字PI调节器的有效性。

基于模糊单神经元PI的煤矿电气设备电源频率自动化控制系统

为确保煤矿电气设备电源频率不偏离标准频率,保障煤矿电气设备安全稳定运行,设计基于模糊单神经元PI的煤矿电气设备电源频率自动化控制系统。数据采集层通过电源频率信号输出检测仪,采集电源频率数据,并使用改进小波阈值法,去噪频率数据,然后由数据传输层发送其至控制中心,控制中心在接收该数据的同时,由理想电源频率求解模块,通过多元回归模型预测电源理想频率,而后模糊神经元PI控制模块以实际、理想电源频率为输入,经频率偏差求解、模糊化等操作,获得控制信号,控制电源频率无线接近理想值。实验结果表明,该系统可实现煤矿电气设备电源频率自动化控制,控制设备电源频率无线接近理想值,电源频率控制效果显著。

一种基于电源周期平均模型的单相PWM逆变器准PID控制器

提出了一种基于电源周期平均模型的单相PWM逆变器准PID控制器,其来源于对三角波比较控制方法的深入分析,从而为常用PI控制器的参数整定提供了比较严谨的理论公式,使参数整定变得快捷。由于准PID控制器自身已具备比较优越的性能,因此可为中低档逆变器直接采用,或用作高精度智能PID控制逆变器的初始状态,以保证系统启动的稳定性和安全性,并且使智能控制算法能更好地发挥其优势。准PID控制器的提出同时也说明了单相PWM逆变器不适宜使用严格的PID控制器的原因。

扰动补偿的陀螺稳定平台单神经元自适应PI控制

针对陀螺稳定平台受未知非线性干扰的影响,提出了一种基于扰动补偿的单神经元自适应PI控制策略。利用扰动观测器观测出各种扰动,将其作为补偿信号前馈到控制输入端,提高平台的抗干扰能力;同时利用神经元的自学习和自适应力对PI参数进行在线调整,保证了平台在外界扰动和系统参数变化情况下对目标稳定跟踪的能力。通过在某型号实验装置上的试验结果表明,该方法对不确定扰动具有较强的抗干扰能力,提升了稳定平台的自适应性和鲁棒性。

基于分数阶PI的逆变器双环控制研究

研究逆变器波形控制技术的问题,传统PI控制存在明显的缺点,导致输出电压质量不佳。为了提高逆变器输出电压的稳态和动态性能,提出了一种新的分数阶PI控制策略。分数阶PI控制器比PI控制器多了一个可调参数λ,使设计更加灵活,性能更加优越。仿真结果显示,分数阶PI控制策略提高了逆变器输出电压的稳态精度,增强了负载抗干扰能力,系统获得较快的动态响应,改进控制策略对于中小型风力发电系统并网逆变器的实际应用具有重要圣者价值。

基于单神经元自适应PI控制器的主动队列管理算法

基于神经网络理论中的神经元模型与学习算法,设计了一种主动队列管理算法SNAPI(Single Neuron-based Adaptive PI controller).控制器根据系统误差在线调整PI控制器的控制参数,以适应动态变化的网络参数.运用Nyquist稳定判据给出了系统在平衡点附近的局部稳定条件.最后通过仿真检验了SNAPI,并比较了它与使用固定控制参数的PI算法的性能.

双重预测PI算法在单晶硅生长炉中的应用

直拉法单晶硅直径的控制难点在于过程对象的大惯性、大滞后、非线性及多干扰。采用双重控制思想,快则治标,主控制器快速调整拉晶速度,快速影响直径;缓则治本,副控制器平稳调整液面温度,保证产品质量。针对对象的惯性和滞后,结合预测PI控制算法,提出双重预测PI控制算法。算法简洁,结果表明,采用双重预测PI控制算法,能够协调控制拉晶速度和液面温度,兼顾系统快速性和产品质量。特别在液面温度的控制上,该算法可以提高系统的工作频率,平稳且快速调整液面温度。控制系统运行稳定,该算法具有实用价值。

12/3相DWIG励磁系统电容电压的模糊-PI双模控制

12/3相双绕组感应发电机是为了实现适合于原动机高速运行特性而设计的一种特殊电机。系统在电机上增设了一个励磁绕组,使用静止励磁装置对电机进行励磁控制。文中对励磁装置的直流侧电容电压的控制原理和方法进行了详细讨论。给出了减小启动电流的方法。将模糊-PI双模控制应用于对有功电流的控制,用来对电容电压进行精确调整。当实际电容电压和设定的参考值误差较大时,使用模糊控制来提高系统的动态特性,当误差比较小时,使用PI控制来实现精确控制。给出了仿真和试验结果,证明这种方法可以实现电容电压的精确控制。动态试验结果表明,在突加和突卸负载时电容电压的变化非常小。

基于PIC单片机的智能带钢对中控制器设计

针对冷轧生产线上带钢跑偏问题,从硬件和软件两个方面设计了一款带钢对中控制器。考虑到带钢对中系统存在非线性和外部干扰等原因,常规PI算法的参数固定无法使系统获得令人满意的结果。用Fuzzy整定PI参数,在简化控制程序的前提下,将模糊PI算法编入PIC单片机中。实机实验研究表明,模糊PI算法具有良好的控制效果,实现了带钢对中控制。

应用SPWM调制PI控制的逆变电源综合实验

太阳能在生活中运用越来越广泛,为了加深学生对太阳能转换为交流电原理的理解,设计了SPWM调制PI控制的单相逆变电源综合实验课程。详细介绍了单相逆变电源拓扑结构、驱动电路的搭建、LC滤波参数计算与选择,通过采样输出电压计算有效值,进而采用PI闭环控制,观察输出波形,确定PI调节系数,实现恒压输出。实验测试结果表明该设计满足逆变电源的基本要求,实现了逆变电源PI控制,使得输出电压波形更稳定、平滑。该综合实验加深了学生对所学知识的理解,培养了学生发现问题和解决问题的能力。

预测模糊PI控制的反激变换器设计与仿真

针对传统控制技术应用于反激变换器时控制精度低、超调大等问题,提出一种预测模糊PI控制策略。在对反激变换器进行频率响应分析、PI和PID补偿分析的基础上,进而分析变换器的非线性特性。基于模糊PI控制提高系统的控制精度,同时引入单值模型预测算法改进模糊PI控制器的输入,最大限度地减小相位滞后的影响。Simulink仿真验证结果表明,相比于PID控制模式,该系统的稳态误差控制在0.55%左右,动态调节时间为0.02 s,超调量几乎为零。仿真结果验证了控制策略的性能。

基于PI-RP复合控制策略的船用单相APF设计与仿真

为抑制和滤除舰船电网上非线性设备引入的谐波干扰,针对舰船设备特性设计单相有源电力滤波器(Active Power Filter,APF)。分析论证了单相APF的技术原理、主电路构成及拓扑结构,比较几种常用的谐波检测算法和控制策略。针对PI(比例积分)控制和RP(重复)控制各自优点及不足,设计采用二者并联运行的复合控制策略以有效提高稳态精度和动态性能。利用MATLAB/Simulink软件建立系统仿真模型,仿真实验结果表明单相APF滤波效果良好,也验证了复合控制策略的有效性。

基于AVR单片机的加液机PI控制器设计研究

介绍加液机控制系统的工作原理及其相关电路,在保证安全使用的前提下,降低加液机成本,提高计量准确度。设计一种基于ATmega128单片机的加液机控制系统,采用单片机作为核心控制芯片,采用科里奥利质量流量计和DG1300型号的压力变送器,分别完成对流量和压力信号的自动采集,同时将采集到的信号送入单片机,根据系统的设定值完成相应的PI控制。最后论述其程序的实现方法,并对改进的PI算法进行验证,给出仿真结果。

基于PI+重复控制的单相逆变器研究

逆变系统中,PI控制对低次谐波的抑制能力不够,而重复控制的时延环节注定了第一个周期无输出,影响系统的快速响应性。文中尝试在逆变器控制中融合PI的动态响应性能和重复控制对周期性扰动信号的抑制能力,提出了一种将PI和重复控制并联的控制方案,然后分析被控对象特性,依次设计PI控制器和重复控制器参数,最后通过仿真和实验验证了该方案的可行性。

单级倒立摆的分数阶PI^λD^μ控制器设计

针对单级倒立摆系统的平衡控制问题,采用基于输出反馈双回路控制方案,提出了一种分数阶PDμ控制器设计方法。在建立了系统数学模型的基础上,基于闭环系统的特征多项式和系统稳定性及各种性能指标的要求,选取了合适的闭环主导极点,通过输出反馈控制器改变控制系统的极点位置来使闭环系统具有所期望的动态特性和渐进稳定,并利用微粒群(PSO)优化算法整定分数阶控制器参数。仿真结果表明:双回路分数阶PDμ控制器较整数阶PD控制器,收敛速度快,振荡小,能取得更好的控制效果。